ArticleWorld journal of clinical cases2022
Detection of a novel panel of 24 genes with high frequencies of mutation in gastric cancer based on next-generation sequencing.
Article in World journal of clinical cases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- The impact of p53 mutation on tumor immune evasion: mechanistic insights and clinical implications.Frontiers in immunology · 2026Review
- ATR-CHK1 Axis Inhibitors in Gastric Cancer Treatment.International journal of molecular sciences · 2025Review
- Advances in personalized medicine: translating genomic insights into targeted therapies for cancer treatment.Annals of translational medicine · 2025Review
- Current insights and future directions of Li-Fraumeni syndrome.Discover oncology · 2024Review
- Role of FBXW7 expression in gastric cancer: Meta‑analysis and bioinformatics analysis.Oncology letters · 2023Article
- Comprehensive clinical assays for molecular diagnostics of gliomas: the current state and future prospects.Frontiers in molecular biosciences · 2023Review
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGastric cancer is a leading cause of cancer-related mortality worldwide. Many somatic mutations have been identified based on next-generation sequencing; they likely play a vital role in cancer treatment selection. However, next-generation sequencing has not been widely used to diagnose and treat gastric cancer in the clinic.
aimTo test the mutant gene frequency as a guide for molecular diagnosis and personalized therapy in gastric cancer by use of next-generation sequencing.
methodsWe constructed a panel of 24 mutant genes to detect somatic nucleotide variations and copy number variations based on a next-generation sequencing technique. Our custom panel included high-mutation frequency cancer driver and tumour suppressor genes. Mutated genes were also analyzed using the cBioPortal database. The clinical annotation of important variant mutation sites was evaluated in the ClinVar database. We searched for candidate drugs for targeted therapy and immunotherapy from the OncoKB database.
resultsIn our study, the top 16 frequently mutated genes were TP53(58%), ERBB2(28%), BRCA2 (23%), NF1 (19%), PIK3CA (14%), ATR (14%), MSH2 (12%), FBXW7 (12%), BMPR1A (12%), ERBB3 (11%), ATM (9%), FGFR2 (8%), MET (8%), PTEN (6%), CHD4 (6%), and KRAS (5%). TP53 is a commonly mutated gene in gastric cancer and has a similar frequency to that in the cBioPortal database. 33 gastric cancer patients (51.6%) with microsatellite stability and eight patients (12.5%) with microsatellite instability-high were investigated. Enrichment analyses demonstrated that high-frequency mutated genes had transmembrane receptor protein kinase activity. We discovered that BRCA2, PIK3CA, and FGFR2 gene mutations represent promising biomarkers in gastric cancer.
conclusionWe developed a powerful panel of 24 genes with high frequencies of mutation that could detect common somatic mutations. The observed mutations provide potential targets for the clinical treatment of gastric cancer.
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